CoSupport AI
What is Roboto?
Roboto provides a comprehensive platform engineered for the management and analysis of robotics data. It enables users to search, transform, and analyze vast amounts of data generated by robots effectively. The system natively supports common robotics log formats, simplifying the process of extracting meaningful insights from complex datasets. Users can upload logs and auxiliary files, organizing them with tags and metadata for easy retrieval and sharing within teams.
The platform offers advanced functionalities such as processing log data through custom or community-provided actions, identifying important events like anomalies, and performing powerful multimodal searches across datasets, files, topics, and events. Roboto facilitates data visualization from multiple formats and allows for aggregation and analysis across different devices. Integration is supported via a Python SDK and CLI, empowering users to automate workflows and perform sophisticated analyses like signal similarity searches.
Features
- Data Management: Upload logs and auxiliary files, organize with tags/metadata, share insights via comments/notifications.
- Actions: Process and transform data using custom or community actions, automate log reviews, integrate existing algorithms, generate custom reports.
- Events: Highlight important events (e.g., crashes, obstacles) manually or automatically based on custom thresholds and analysis.
- Search: Perform powerful multimodal queries using tags, metadata, and topic statistics to retrieve specific data and identify edge cases.
- SDK and CLI: Interact with the platform programmatically using Python SDK and CLI for data retrieval, aggregation, and advanced analysis like signal similarity search.
- Format Support: Natively supports common robotics formats including ROS, MCAP, ULG, Images, Videos, Console Logs, JSON, CSV.
- Data Visualization: Visualize data from multiple log formats.
- Collaboration: Tag and share data slices with team members.
Use Cases
- Analyzing robotics operational data to identify patterns and anomalies.
- Debugging robot behavior by searching through logs for specific events or conditions.
- Automating log review processes using custom actions.
- Managing and organizing large volumes of robotics data for research and development.
- Collaborating on robotics data analysis within engineering teams.
- Integrating robotics data analysis into existing development workflows via SDK/CLI.
- Performing advanced data analysis like signal similarity searches on sensor data.
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